GraphLab Raises $6.75M to Build ‘Hadoop for Graphs’

Robin Wauters of The Next Web reports, “Seattle startup GraphLab claims it is building the ‘fastest machine-learning analytics engine for graph datasets’, based on the popular open-source distributed graph computation framework with the same name, and it has just raised capital to come through on its promise. Founded by scientists from the University of Washington, Carnegie Mellon and UC Berkeley, GraphLab today announced that it has secured $6.75 million in a financing round led by Madrona and NEA.” Read more












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